DocumentCode
120603
Title
Session rate prediction for multimedia streaming
Author
Gunjgur, Prathmesh N. ; Vidhate, Amarsinh V.
Author_Institution
Dept. of Comput. Eng., Ramrao Adik Inst. of Technol., Navi Mumbai, India
fYear
2014
fDate
21-22 Feb. 2014
Firstpage
348
Lastpage
353
Abstract
Uses of multimedia on video and audio application are increasing day-by-day on mobile devices. The continuity of these applications may hamper due to improper session rates during transmission. In this study we survey various papers for session rate prediction of streaming media using network traffic prediction methods. Also bandwidth estimation is carried out for the wireless network which plays a significant role in predicting the session rates. Our proposed session rate expression helps to understand the significance of predicting the session rate for streaming media in mobile wireless network. We study various proposals in this regard and the state-of-the-art analytical analysis is presented followed by our notations.
Keywords
audio streaming; mobile communication; mobile handsets; multimedia communication; telecommunication traffic; video communication; video streaming; analytical analysis; audio application; bandwidth estimation; mobile devices; mobile wireless network; multimedia streaming; network traffic prediction methods; session rate prediction; video application; Bandwidth; Estimation; Kalman filters; Mobile computing; Prediction algorithms; Predictive models; Streaming media; bandwidth estimation; network traffic prediction; session rate prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location
Gurgaon
Print_ISBN
978-1-4799-2571-1
Type
conf
DOI
10.1109/IAdCC.2014.6779347
Filename
6779347
Link To Document